Updated README.md to reposition notebook order in the list

Moved this up to below the Ollama notebook

README.md

@@ -36,14 +36,14 @@ You can find the Gemma models on GitHub, Hugging Face models, Kaggle, Google Clo
 | [Prompt_chaining.ipynb](Gemma/Prompt_chaining.ipynb)                                                                                             | Illustrate prompt chaining and iterative generation with Gemma.                                                                                                                         |
 | [Advanced_Prompting_Techniques.ipynb](Gemma/Advanced_Prompting_Techniques.ipynb)                                                                 | Illustrate advanced prompting techniques with Gemma.                                                                                                                                    |
 | [Run_with_Ollama.ipynb](Gemma/Run_with_Ollama.ipynb)                                                                                             | Run Gemma models using [Ollama](https://www.ollama.com/).                                                                                                                               |
+| [Using_Gemma_with_Llamafile.ipynb](Gemma/Using_Gemma_with_Llamafile.ipynb)                                                                       | Run Gemma models using [Llamafile](https://github.com/Mozilla-Ocho/llamafile/).                                                                                                         |
 | [Aligning_DPO_Gemma_2b_it.ipynb](Gemma/Aligning_DPO_Gemma_2b_it.ipynb)                                                                           | Demonstrate how to align a Gemma model using DPO (Direct Preference Optimization) with [Hugging Face TRL](https://huggingface.co/docs/trl/en/index).                                    |
 | [Deploy_with_vLLM.ipynb](Gemma/Deploy_with_vLLM.ipynb)                                                                                           | Deploy a Gemma model using [vLLM](https://github.com/vllm-project/vllm).                                                                                                                |
 | [Deploy_Gemma_in_Vertex_AI.ipynb](Gemma/Deploy_Gemma_in_Vertex_AI.ipynb)                                                                         | Deploy a Gemma model using [Vertex AI](https://cloud.google.com/vertex-ai).                                                                                                             |
 | [RAG_with_ChromaDB.ipynb](Gemma/RAG_with_ChromaDB.ipynb)                                                                                         | Build a Retrieval Augmented Generation (RAG) system with Gemma using [ChromaDB](https://www.trychroma.com/) and [Hugging Face](https://huggingface.co/).                                |
 | [Minimal_RAG.ipynb](Gemma/Minimal_RAG.ipynb)                                                                                                     | Minimal example of building a RAG system with Gemma using [Google UniSim](https://github.com/google/unisim) and [Hugging Face](https://huggingface.co/).                                |
 | [RAG_PDF_Search_in_multiple_documents_on_Colab.ipynb](Gemma/RAG_PDF_Search_in_multiple_documents_on_Colab.ipynb)                                 | RAG PDF Search in multiple documents using Gemma 2 2B on Google Colab.                                                                                                                  |
 | [Using_Gemma_with_LangChain.ipynb](Gemma/Using_Gemma_with_LangChain.ipynb)                                                                       | Examples to demonstrate using Gemma with [LangChain](https://www.langchain.com/).                                                                                                       |
-| [Using_Gemma_with_Llamafile.ipynb](Gemma/Using_Gemma_with_Llamafile.ipynb)                                                                       | An example to demonstrate using Gemma with [Llamafile](https://github.com/Mozilla-Ocho/llamafile/).                                                                                     |
 | [Gemma_RAG_LlamaIndex.ipynb](Gemma/Gemma_RAG_LlamaIndex.ipynb)                                                                                   | RAG example with [LlamaIndex](https://www.llamaindex.ai/) using Gemma.                                                                                                                  |
 | [Integrate_with_Mesop.ipynb](Gemma/Integrate_with_Mesop.ipynb)                                                                                   | Integrate Gemma with [Google Mesop](https://google.github.io/mesop/).                                                                                                                   |
 | [Integrate_with_OneTwo.ipynb](Gemma/Integrate_with_OneTwo.ipynb)                                                                                 | Integrate Gemma with [Google OneTwo](https://github.com/google-deepmind/onetwo).                                                                                                        |